Body mass index, gender, and clinical outcome among hypertensive and diabetic patients with stage A/B heart failure
Piercarlo BalloIrene BettiAlessandro BarchielliGabriele CastelliLeonardo De LucaMihai GheorghiadeAlfredo Zuppiroli
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Abstract:
The existence of an "obesity paradox" in asymptomatic patients with preclinical heart failure (HF) has not been investigated. The prognostic value of BMI in a cohort of hypertensive and diabetic patients with stage A/B HF enrolled in the PROBE-HF study was explored.BMI was measured in 1003 asymptomatic subjects (age 66.4 ± 7.8 years, 48% males) with hypertension and/or type 2 diabetes and no clinical evidence of HF. Predefined endpoints were all-cause mortality and a composite of death and hospitalization for cardiac causes.During a follow-up of 38.5 ± 4.1 months, 33 deaths were observed. Mortality in the normal BMI group (1.6 deaths per 100 patient-years) did not differ to that in the overweight group (1.1 per 100 patient-years, p = 0.31), but was higher than that in the obese group (0.4 per 100 patient-years, p = 0.0089). In multivariable analysis, obesity (hazard ratio [HR] 0.27 [0.09-0.85], p = 0.025) but not overweight (HR 0.68 [0.32-1.45], p = 0.32) was associated with lower risk of death. Obesity was also independently associated with reduced risk of the composite endpoint (HR 0.54 [0.28-0.99], p = 0.047).In asymptomatic hypertensive and diabetic patients with preclinical HF, obesity is associated with better survival and reduced risk of events.Keywords:
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Objective: To determine the association between body mass index and indication of angioplasty with stent implantation in women over 50 years of age.Material and methods: Retrospective analytical study, cross-sectional.It were evaluated 83 clinical records of women older than 50 years of age who underwent angiography due to coronary artery disease and were hospitalized in Peruvian Naval Medical Center between 2010 and 2017.A Poisson regression analysis was performed to determine the association.Results: The mean ± standard deviation of age was 66.51 ± 8.94 years.81.93% had two or more comorbidities.The frequency of angioplasties with stent implantation was 58%.Body mass index in range of obesity (45.83%) was more frequent in patients who received the implant.In the adjusted regression model, overweight patients had lower probability (PR 0.83, 95% CI 0.68 ---0.98) to have the indication of implantation as compared to patients with body mass index less than 25 kg/m 2 .Conclusions: Although obesity paradox relationship between body mass index and angioplasty with stent indication has been demonstrated by the multivariate analysis of this study, it is necessary to evaluate obesity with better markers than body mass index before assuming that obesity is a good prognostic factor for coronary artery disease in our patient.
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Overweight and obesity as well as associated metabolic disorders belong to the most important risk factors. During the exhibition 'Heureka' in Zurich data on body weight and size as well as on other clinical and biochemical parameters were collected by a questionnaire. Age- and gender-specific prevalence rates were calculated. Between 10 and 41% of the visitors showed a body-mass index of > or = 25 kg/m2, as a function of age and gender -0.7 to 6.2% showed a body-mass index of > or = 30 kg/m2. The most important increase in body weight was found in the age groups between 20 and 40 years. The presented epidemiologic data show that overweight is common in Switzerland, too. Prevention of overweight is still one of the most rational medical strategies and should be intensified in the age group between 20 and 40.
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Despite increased interest in an obesity paradox (i.e. a survival advantage of being obese), evidence remains sparse in Japanese populations. We aimed to verify this phenomenon among community-dwelling older adults in Japan.Older adults aged 65-84 years randomly chosen from all 74 municipalities in Shizuoka Prefecture completed questionnaires including body mass index information. Participants were followed from 1999 to 2009. Following World Health Organization guidelines, participants were classified using an appropriate body mass index for Asian populations as follows: <18.5 kg/m2 (underweight), 18.5-23.0 kg/m2 (normal weight), 23.0-27.5 kg/m2 (overweight) and ≥27.5 kg/m2 (obesity). We estimated hazard ratios and their 95% confidence intervals for all-cause mortality, controlling for sex, age, smoking status, alcohol consumption, physical activity, hypertension and diabetes mellitus.Compared with normal-weight participants, overweight/obese participants tended to have lower hazard ratios; the multivariate hazard ratios (95% confidence interval) were 0.86 (0.62-1.19) for obesity, 0.83 (0.73-0.94) for overweight and 1.60 (1.40-1.82) for underweight. In subgroup analyses by sex and age, the hazard ratios tended to be lower among obese men, albeit not significantly; hazard ratios (95% confidence interval) were 0.56 (0.25-1.27) in men aged 65-74 years, and 0.78 (0.41-1.45) in men aged 75-84 years.The present study provides evidence of a conservative obesity paradox among older Japanese people, using the appropriate body mass index cut-off points for Asian populations. In particular, obese older men tend to have a lower risk of all-cause mortality. Geriatr Gerontol Int 2017; 17: 1257-1264.
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Previous studies have described an inverse relationship between obesity and adverse events in a variety of conditions. Our aim was to investigate the relationship between obesity and prognosis in patients with atrial fibrillation.We studied 746 patients who were prospectively included, between January and April 2008, in the AFBAR (Atrial Fibrillation in BARbanza area) registry. Patients were categorized into 3 body mass index groups using baseline measurements: normal (< 25 kg/m2), overweight (25-30 kg/m2), and obese (≥30 kg/m2). Survival free from the composite endpoint hospitalization for cardiovascular causes or all-cause mortality was compared across the 3 body mass index groups. A multivariable Cox proportional hazard regression was also performed to determine the independent effect of obesity as well as overweight, with respect to normal body mass index as a reference category, regarding the study endpoint. Median follow-up time was 36 (28-36) months.49.3% were obese and 38.2% had overweight. The composite endpoint rate was 70.9%, 67.5%, and 57.6% for obese, overweight, and normal weight patients, respectively (log rank test; p=0.02). An inverse association of obesity with a favorable prognosis persisted even after multivariable adjustment: hazard ratio 0.668; 95% confidence interval 0.449-0.995; p=0.047. Hazard ratio of overweight, however, was 0.741; 95% confidence interval: 0.500-1.098; p=0.096.Obesity, defined as a body mass index ≥ 30 kg/m2, is associated with better prognosis in a community-based cohort of patients with atrial fibrillation.
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Does Obesity Protect Against Death in Sepsis? A Retrospective Cohort Study of 55,038 Adult Patients*
Observational studies suggest obesity is associated with sepsis survival, but these studies are small, fail to adjust for key confounders, measure body mass index at inconsistent time points, and/or use administrative data to define sepsis. To estimate the relationship between body mass index and sepsis mortality using detailed clinical data for case detection and risk adjustment.Retrospective cohort analysis of a large clinical data repository.One-hundred thirty-nine hospitals in the United States.Adult inpatients with sepsis meeting Sepsis-3 criteria.Body mass index in six categories: underweight (body mass index < 18.5 kg/m), normal weight (body mass index = 18.5-24.9 kg/m), overweight (body mass index = 25.0-29.9 kg/m), obese class I (body mass index = 30.0-34.9 kg/m), obese class II (body mass index = 35.0-39.9 kg/m), and obese class III (body mass index ≥ 40 kg/m).Multivariate logistic regression with generalized estimating equations to estimate the effect of body mass index category on short-term mortality (in-hospital death or discharge to hospice) adjusting for patient, infection, and hospital-level factors. Sensitivity analyses were conducted in subgroups of age, gender, Elixhauser comorbidity index, Sequential Organ Failure Assessment quartiles, bacteremic sepsis, and ICU admission.From 2009 to 2015, we identified 55,038 adults with sepsis and assessable body mass index measurements: 6% underweight, 33% normal weight, 28% overweight, and 33% obese. Crude mortality was inversely proportional to body mass index category: underweight (31%), normal weight (24%), overweight (19%), obese class I (16%), obese class II (16%), and obese class III (14%). Compared with normal weight, the adjusted odds ratio (95% CI) of mortality was 1.62 (1.50-1.74) for underweight, 0.73 (0.70-0.77) for overweight, 0.61 (0.57-0.66) for obese class I, 0.61 (0.55-0.67) for obese class II, and 0.65 (0.59-0.71) for obese class III. Results were consistent in sensitivity analyses.In adults with clinically defined sepsis, we demonstrate lower short-term mortality in patients with higher body mass indices compared with those with normal body mass indices (both unadjusted and adjusted analyses) and higher short-term mortality in those with low body mass indices. Understanding how obesity improves survival in sepsis would inform prognostic and therapeutic strategies.
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Studies have shown disparate findings regarding body mass index and outcomes after coronary artery bypass. We analyzed body mass index and other clinical variables that might predict morbidity and mortality after primary isolated coronary artery bypass. Data on 4,425 patients (79% men) were reviewed retrospectively. They were classified as underweight (1.6%), normal weight (65%), obese (32%), and morbidly obese (1.4%) according to body mass index < 20, 20–29, 30–39, and > 40 kgċm −2 , respectively. Multiple logistic regression was used for correlates of 30-day outcome. Cox regression was used for predictors of late outcome in underweight and morbidly obese patients. There were 45 (1%) deaths and 234 (5%) cases of morbidity within 30 days. Independent correlates of 30-day morbidity were smoking, logistic EuroSCORE, blood and blood product transfusions. Correlates of 30-day mortality were logistic EuroSCORE and blood transfusion. The only independent predictor of late death in underweight and morbidly obese patients was preoperative arrhythmia. Body mass index was not a predictor of 30-day morbidity or mortality. The 1-, 3-, and 7-year survival rates were not significantly different between underweight and morbidly obese patients. Body mass index did not affect short-term outcomes after primary coronary artery bypass grafting.
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Despite its many known shortcomings, body mass index (BMI) is the most widely used measure of obesity, in part because of its practicality. Other more physiologic measurements of obesity have been proposed, including percent body fat (BF). Few studies have compared BMI and BF, especially in patients with coronary heart disease (CHD).We studied 581 patients with CHD following major CHD events. We divided patients into low (≤ 25% in men and ≤ 35% in women) and high BF (> 25% in men and > 35% in women) as determined by the sum of the skin-fold method and compared these findings with standard BMI determinations.BMI and BF were highly correlated (r = 0.60; P < .001) and classified patients in the same category (obese vs nonobese) in 68% of cases. The agreement was optimal in the underweight (BMI < 18.5 kg/m(2)) and obese class II category (BMI 35-39.9 kg/m(2)), in which 100% of patients were classified as nonobese and obese, respectively, by both BMI and BF categories. The performance was worst in patients with BMIs in the overweight or preobese range (25-29.9 kg/m(2)), in which 58% of patients would be classified as obese according to BF criteria.Although some CHD patients are classified differently by BMI and BF, especially within the overweight BMI group, in general BMI and BF are highly correlated, especially in the underweight and obese BMI groups. Prospective studies are needed to determine which index of obesity best predicts risk in primary and secondary prevention.
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